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Data Cleansing Jobs in Oregon (NOW HIRING)

Data Engineer

$90K - $135K/yr

Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.Work closely with analytics teams to define data requirements and create ...

OR

$69 - $85.50/hr

Design rules and processes for data cleansing, normalization, and enrichment to ensure completeness and accuracy of migrated and integrated data. * Establish data quality KPIs and continuously ...

Senior Data Engineer

$105K - $150K/yr

Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities. Work closely with analytics teams to define data requirements and create ...

Work closely with stakeholders to validate mappings, perform data cleansing, and support user acceptance testing. * Evaluate analytical solutions and recommend improvements to reporting architecture ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

ERP AI Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle ...

SAP BODS/Data Conversion Consultant

Portland, OR · On-site

$70.75 - $92.25/hr

Perform data profiling, cleansing, standardization, de-duplication, reconciliation, and issue analysis for master and transactional data to improve data quality and reduce conversion risk. * Use SAP ...

Lead root cause analysis for data discrepancies and monitor quality metrics to implement effective remediation and cleansing strategies. * Support the testing of new ingestion pipelines and maintain ...

OR · On-site

Lead enterprise-scale data migration projects from source analysis through cutover, including ETL design, field mapping, transformation logic, cleansing, validation, and reconciliation. * Develop and ...

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Showing results 1-20

Data Cleansing information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data cleansing jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data cleansing in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Cleansing position, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What is a Data Cleansing job?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can be complex depending on data size and quality. It requires attention to detail, familiarity with tools like Excel or specialized software, and sometimes knowledge of programming languages such as Python or SQL. The difficulty varies based on the data's complexity and the specific requirements of the project.

What skills are needed for data cleansing?

Data cleansing requires strong attention to detail, proficiency in spreadsheet tools like Excel, and knowledge of data management software such as SQL or data cleaning tools. Analytical skills and the ability to identify and correct errors are essential for ensuring data accuracy and consistency.

What are some common challenges faced in a Data Cleansing role?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

What does a data cleanser do?

A data cleanser is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This process involves identifying and fixing errors, removing duplicates, and standardizing formats, often using tools like Excel or specialized data cleaning software. Data cleansing helps improve data quality for analysis and decision-making.

What is a data cleansing job?

A data cleansing job involves reviewing and correcting data to ensure accuracy, consistency, and completeness. It often requires skills in data management tools and attention to detail to identify and fix errors, duplicates, or inconsistencies in datasets.
What cities in Oregon are hiring for Data Cleansing jobs? Cities in Oregon with the most Data Cleansing job openings:
Infographic showing various Data Cleansing job openings in Oregon as of July 2026, with employment types broken down into 6% Locum Tenens, 83% Full Time, 5% Part Time, 1% Temporary, 3% Contract, and 2% Summer. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

$90K - $135K/yr

Other

Re-posted 10 days ago


WellBe Senior Medical rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Job Summary

As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, transform data and build enterprise data models. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. This role will be tasked with the design, development, and maintenance of software responsible for administering ELT transformations and quality processes to ensure the integrity of our data footprint within warehouse.

Job Description

SKILLS & COMPETENCIES

Design and develop ELT pipelines and transformations for publication of scalable warehouse integrations to be used for higher level analytics.Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy.Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to integrate analytical solutions into production systems.Monitor usage and performance of warehouse resources and implement creative solutions for improving performance and reducing costs of said resourcesStay updated with the latest technologies and trends in data analytics and engineering. Apply new tools and techniques to enhance the efficiency and effectiveness of data analysis processes.

Job Requirements

Required Skills and Abilities:

Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability.Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization.Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation.Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation.Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications.Implement best practices for data governance and ensure data security and compliance.Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus.Strong sense of ownership, bias for action, and driveStrong verbal and written communicationExcellent analytical and problem-solving skillsStrong work ethic and attention to detail

Educational/Experience Requirements:Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred.5 years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities.3 years of experience in health care and health plan data analysis experience preferred.Strong SQL database development, modeling, and querying skillsProficiency in using data processing frameworks (e.g., Snowpipe, Fivetran), databases (e.g. Snowflake, MSSQL) and GCP cloud.Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required.

Experience building pipelines in Azure Data Factory required.

Snowflake data processing with Tasks and Procedures, DBT and GIT experience required.Experience building API data ingestion pipeline using Python in cloud service required.Knowledge of machine learning concepts and algorithms is a plusStrong leadership and team management skills, with the ability to motivate and develop team members.Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Physical and Mental RequirementsAbility to stand/sit for extended periods.Visual acuity and fine motor skills.Ability to travel as needed.

Work EnvironmentTravel may be required up to 15% locally or nationallyRemote

Pay Transparency

$90,000 - $135,000 based on experience 

Sponsorship StatementWellBe does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.Pay Transparency StatementCompensation for this position will be disclosed in accordance with applicable state and local pay transparency laws.Drug Screening Requirement: As a condition of employment, WellBe Senior Medical requires all candidates to successfully complete a pre-employment drug screening. Ongoing employment may also be contingent upon compliance with the company's Drug-Free Workplace Policy, which includes random, post-accident, and reasonable suspicion drug testing. The company reserves the right to test for substances that may impair an employee's ability to safely and effectively perform their job duties.Background Check StatementEmployment is contingent upon successful completion of a background check, as permitted by law. As a healthcare organization, WellBe conducts monthly FACIS (Fraud and Abuse Control Information System) checks on all employees. Continued employment is contingent upon satisfactory results of these checks, in accordance with applicable laws and regulations.Equal Employment Opportunity (EEO) StatementWellBe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.Americans with Disabilities ActWellBe Senior Medical is committed to complying with the Americans with Disabilities Act (ADA) and applicable state and local laws. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. If you requirean accommodation during the application, interview or employment process, please contact Human Resources at HRPeopleLine@wellbe.comAt-Will Employment StatementEmployment with WellBe is at-will unless otherwise specified by contract. This job description does not constitute an employment contract.DisclaimerThis job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary

Employment Type: OTHER

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